Electra: Conditional Generative Model based Predicate-Aware Query Approximation

no code implementations • 28 Jan 2022 • Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas Maddukuri

The goal of Approximate Query Processing (AQP) is to provide very fast but "accurate enough" results for costly aggregate queries thereby improving user experience in interactive exploration of large datasets.

Surveys without Questions: A Reinforcement Learning Approach

no code implementations • 11 Jun 2020 • Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan

To overcome these deficiencies we extract proxy ratings from clickstream data, typically collected for every customer's online interactions, by developing an approach based on Reinforcement Learning (RL).

reinforcement-learning Reinforcement Learning (RL)

DeepPlace: Learning to Place Applications in Multi-Tenant Clusters

no code implementations • 30 Jul 2019 • Subrata Mitra, Shanka Subhra Mondal, Nikhil Sheoran, Neeraj Dhake, Ravinder Nehra, Ramanuja Simha

Large multi-tenant production clusters often have to handle a variety of jobs and applications with a variety of complex resource usage characteristics.

reinforcement-learning Reinforcement Learning (RL) +1